1,405 research outputs found
The state-of-the-art in personalized recommender systems for social networking
With the explosion of Web 2.0 application such as blogs, social and professional networks, and various other types of social media, the rich online information and various new sources of knowledge flood users and hence pose a great challenge in terms of information overload. It is critical to use intelligent agent software systems to assist users in finding the right information from an abundance of Web data. Recommender systems can help users deal with information overload problem efficiently by suggesting items (e.g., information and products) that match users’ personal interests. The recommender technology has been successfully employed in many applications such as recommending films, music, books, etc. The purpose of this report is to give an overview of existing technologies for building personalized recommender systems in social networking environment, to propose a research direction for addressing user profiling and cold start problems by exploiting user-generated content newly available in Web 2.0
A Multi-Relational Network to Support the Scholarly Communication Process
The general pupose of the scholarly communication process is to support the
creation and dissemination of ideas within the scientific community. At a finer
granularity, there exists multiple stages which, when confronted by a member of
the community, have different requirements and therefore different solutions.
In order to take a researcher's idea from an initial inspiration to a community
resource, the scholarly communication infrastructure may be required to 1)
provide a scientist initial seed ideas; 2) form a team of well suited
collaborators; 3) located the most appropriate venue to publish the formalized
idea; 4) determine the most appropriate peers to review the manuscript; and 5)
disseminate the end product to the most interested members of the community.
Through the various delinieations of this process, the requirements of each
stage are tied soley to the multi-functional resources of the community: its
researchers, its journals, and its manuscritps. It is within the collection of
these resources and their inherent relationships that the solutions to
scholarly communication are to be found. This paper describes an associative
network composed of multiple scholarly artifacts that can be used as a medium
for supporting the scholarly communication process.Comment: keywords: digital libraries and scholarly communicatio
Cultural consequences of computing technology
Computing technology is clearly a technical revolution, but will most probably bring about a cultural revolution\ud
as well. The effects of this technology on human culture will be dramatic and far-reaching. Yet, computers and\ud
electronic networks are but the latest development in a long history of cognitive tools, such as writing and printing.\ud
We will examine this history, which exhibits long-term trends toward an increasing democratization of culture,\ud
before turning to today's technology. Within this framework, we will analyze the probable effects of computing on\ud
culture: dynamical representations, generalized networking, constant modification and reproduction. To address the\ud
problems posed by this new technical environment, we will suggest possible remedies. In particular, the role of\ud
social institutions will be discussed, and we will outline the shape of new electronic institutions able to deal with the\ud
information flow on the internet
Integrating Quality Criteria in a Fuzzy Linguistic Recommender System for Digital Libraries
Recommender systems can be used in an academic environment to assist users in their decision making processes to find relevant information. In the literature we can find proposals based in user’ profile or in item’ profile, however they do not take into account the quality of items. In this work we propose the combination of item’ relevance for a user with its quality in order to generate more profitable and accurate recommendations. The system measures item quality and takes it into account as new factor in the recommendation process. We have developed the system adopting a fuzzy linguistic approach.Projects TIN2010-17876, TIC5299 y TIC-599
QUARE: 1st Workshop on Measuring the Quality of Explanations in Recommender Systems
QUARE - measuring the QUality of explAnations in REcommender systems - is the first workshop that aims to promote discussion upon future research and practice directions around evaluation methodologies for explanations in recommender systems. To that end, we bring together researchers and practitioners from academia and industry to facilitate discussions about the main issues and best practices in the respective areas, identify possible synergies, and outline priorities regarding future research directions. Additionally, we want to stimulate reflections around methods to systematically and holistically assess explanation approaches, impact, and goals, at the interplay between organisational and human values. The homepage of the workshop is available at: https: //sites.google.com/view/quare-2022/
Towards a Modular Recommender System for Research Papers written in Albanian
In the recent years there has been an increase in scientific papers
publications in Albania and its neighboring countries that have large
communities of Albanian speaking researchers. Many of these papers are written
in Albanian. It is a very time consuming task to find papers related to the
researchers' work, because there is no concrete system that facilitates this
process. In this paper we present the design of a modular intelligent search
system for articles written in Albanian. The main part of it is the recommender
module that facilitates searching by providing relevant articles to the users
(in comparison with a given one). We used a cosine similarity based heuristics
that differentiates the importance of term frequencies based on their location
in the article. We did not notice big differences on the recommendation results
when using different combinations of the importance factors of the keywords,
title, abstract and body. We got similar results when using only the title and
abstract in comparison with the other combinations. Because we got fairly good
results in this initial approach, we believe that similar recommender systems
for documents written in Albanian can be build also in contexts not related to
scientific publishing.Comment: 8 page
A Review on Information Accessing Systems Based on Fuzzy Linguistic Modelling
This paper presents a survey of some fuzzy linguistic information access systems. The review shows
information retrieval systems, filtering systems, recommender systems, and web quality evaluation tools,
which are based on tools of fuzzy linguistic modelling. The fuzzy linguistic modelling allows us to
represent and manage the subjectivity, vagueness and imprecision that is intrinsic and characteristic of the
processes of information searching, and, in such a way, the developed systems allow users the access to
quality information in a flexible and user-adapted way.European Union (EU)
TIN2007-61079
PET2007-0460Ministry of Public Works
90/07Excellence Andalusian Project
TIC529
Information Outlook, October 2006
Volume 10, Issue 10https://scholarworks.sjsu.edu/sla_io_2006/1009/thumbnail.jp
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